Application on the early detection of autism: an educational tool for teaching in health

Abstract

Objective: To demonstrate the development of an application on the early detection of autism in the light of the Guidelines for Attention to Rehabilitation of Autistic Spectrum Disorder (TEA), described by the Ministry of Health, to give subsidies to the teaching of academics and health professionals and their practices education. Methods: The application was developed through an interdisciplinary work between an occupational therapist, who provided the theoretical framework for application development, and a professional in the data processing area who programmed the software. The system was developed using the App tool Inventor. Results: The application was successfully built. An application that allows to receive, store and analyze data related to the early indicators of autism. All of the warning signs for ASD were organized by age group of zero to six months, six to 12 months, 12 to 18 months, 18 to 24 months and 24 to 36 months. A set of behaviors was described for each age group. Conclusion: The application acts as a support tool in teaching early detection of autism. Its use enables agility in the decision-making processes, within the scope of teaching and health services.